Comparing the Homelessness Plan Experiences of Small Canadian Cities: Emerging Insights for Policy and Practice
Bibliographic record
Abstract
This paper presents analytical learnings of a community-engaged study in three small to medium-ranged cities in Canada at diverse points in time relative to multi-year plans to end homelessness. Through semi-structured interviews with service providers, this comparative case study provides insight into the experiences of agencies in the homeless-serving sector when adapting and integrating plans to end homelessness in their work. It proposes de-siloing service sectors as an important contribution to systems change theory and organizational change theory in homelessness prevention work, as homelessness-serving agencies in smaller Canadian cities adapt to, and implement, homelessness plans and policies. Findings suggest that jurisdictional issues, unstable and inflexible resources, and communication and data issues impact service providers’ attitudes toward organizational change and their willingness and capacity to adhere to homelessness plans in their communities. While multi-site studies involve economic and political differences across cities, these do not preclude cross-pollination of innovations. Such research offers the potential for cross-site scaling up, and a comparative approach helps systems move beyond biases in policy development and implementation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".